Question

Run a multiple linear regression in SPSS, create a series of tables that depict the results....

Run a multiple linear regression in SPSS, create a series of tables that depict the results. Test for multicollinearity in SPSS format a table and discuss findings.

stats gcse
1 1
1 1
1 3
2 3
2 3
2 4
2 5
3 1
3 2
3 3
3 3
3 4
3 4
4 2
4 2
4 2
5 3
5 3
5 5
5 6
6 4
6 5
6 4
6 4
6 4

Homework Answers

Answer #1

Steps in SPSS:

Analyze--->Regression--->Linear--->Statistics--->Collinearity diagnostics:

To check Multicollinearity use VIF(Variance Inflation Factor).

If the VIF is equal to 1 there is no multicollinearity among factors:

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Run a multiple linear regression in SPSS, create a series of tables that depict the results....
Run a multiple linear regression in SPSS, create a series of tables that depict the results. Test for multicollinearity in SPSS format a table and discuss findings. stats gcse 1 1 1 1 1 3 2 3 2 3 2 4 2 5 3 1 3 2 3 3 3 3 3 4 3 4 4 2 4 2 4 2 5 3 5 3 5 5 5 6 6 4 6 5 6 4 6 4 6 4
Upon reviewing the results of a multiple regression involving 30 observations on time series data the...
Upon reviewing the results of a multiple regression involving 30 observations on time series data the Econometric Society suspected that the error terms might be related to each other. Alarmed by the prospects they quickly ran another regression yielding the following results: yi = 1631.5 + 0.786x1i + 16.188x2i - 0.211x3i n=29 (41.7) (2.509) (2.131) (1.979); D.W. = 1.89 Do the hypothesis test at a 2% level to see if the econometric society should have been alarmed by the results....
Problem Set 2: Linear Regression Analysis Research Scenario: A social psychologist is interested in whether the...
Problem Set 2: Linear Regression Analysis Research Scenario: A social psychologist is interested in whether the number of days spent in a refugee camp predicts trauma levels in recently resettled refugees. He interviews 17 refugees to determine how many days they spent in a refugee camp before being resettled, then administers the Harvard Trauma Questionnaire Part IV (HTQ Part 4), where a higher score indicates higher levels of trauma (Mollica et al., 1992). He compiles the information in the table...
The table below is a correlation matrix from the multiple regression you want to run. x1...
The table below is a correlation matrix from the multiple regression you want to run. x1 x2 x3 y x1 1 x2 0.724724 1 x3 0.970725 0.794503 1 y 0.984868 0.611978 0.953998 1 A) Which independent variable has the strongest correlation to the dependent variable? a. x2 b. The table does not contain enough information to answer that c. x1 d. x3 B) What is the value of the correlation that indicates serious multicollinearity? a. 1 b. 0.970725 c. 0.953998...
You want to construct a multiple linear regression model. The dependent variable is Y and independent...
You want to construct a multiple linear regression model. The dependent variable is Y and independent variables are x1 and x2. The samples and STATA outputs are provided: Y X1 X2 3 2 1 4 1 2 6 3 3 6 3 4 7 4 5 STATA Y Coef. Std. Err. t P> abs. value (t) 95% confidence interval X1 0.25 0.4677072 0.53 0.646 -1.762382 , 2.262382 X2 0.85 0.3372684 2.52 0.128 -.601149 , 2.301149 _cons 2 0.7245688 2.76 0.110...
You want to construct a multiple linear regression model. The dependent variable is Y and independent...
You want to construct a multiple linear regression model. The dependent variable is Y and independent variables are x1 and x2. The samples and STATA outputs are provided: Y X1 X2 3 2 1 4 1 2 6 3 3 6 3 4 7 4 5 STATA Y Coef. Std. Err. t P> abs. value (t) 95% confidence interval X1 0.25 0.4677072 0.53 0.646 -1.762382 , 2.262382 X2 0.85 0.3372684 2.52 0.128 -.601149 , 2.301149 _cons 2 0.7245688 2.76 0.110...
Enter the hypothetical data below in SPSS to use for the assignment. The SPSS commands: 'file',...
Enter the hypothetical data below in SPSS to use for the assignment. The SPSS commands: 'file', 'new', 'data' will create a spreadsheet in which to enter the data below (manually). Case      Group                   Test 1              1                              6 2              1                              7 3              1                              5              4              1                              4 5              1                              1 6              2                              3 7              2                              5 8              2                              2 9              2                              5 10           2                                1 The groups are coded as follows: 1=experimental group, 2 control group. The participants in the experimental...
Consider the multiple linear regression model y = β0 +β1x1 +β2x2 +β3x3 +β4x4 +ε Using the...
Consider the multiple linear regression model y = β0 +β1x1 +β2x2 +β3x3 +β4x4 +ε Using the procedure for testing a general linear hypothesis, show how to test a. H 0 : β 1 = β 2 = β 3 = β 4 = β b. H 0 : β 1 = β 2 , β 3 = β 4 c. H0: β1-2β2=4β3           β1+2β2=0
Problem Set 1: Linear Regression Research Scenario:A human resources specialist wanted to know if conscientiousness is...
Problem Set 1: Linear Regression Research Scenario:A human resources specialist wanted to know if conscientiousness is a good predictor of job performance. Conscientiousness was evaluated using likert based questions from the open access International Personality Item Pool (IPIP) based on Goldberg’s Big Five (1992). Questions were summed (range 0 – 20), with higher values indicating more conscientiousness. Job performance was an average of several factors, ranging from 0 – 20, with higher scores indicating better job performance. He compiles the...
You want to construct a multiple linear regression model. The dependent variable is Y and independent...
You want to construct a multiple linear regression model. The dependent variable is Y and independent variables are x1 and x2. The samples and STATA outputs are provided: How would you make an ANOVA from the following information? Y X1 X2 3 2 1 4 1 2 6 3 3 6 3 4 7 4 5 STATA Y Coef. Std. Err. t P> abs. value (t) 95% confidence interval X1 0.25 0.4677072 0.53 0.646 -1.762382 , 2.262382 X2 0.85 0.3372684...